# Booking Scraper (`kawsar/booking-scraper`) Actor Booking Scraper pulls hotel details, prices, ratings, amenities, and images from Booking.com listings, giving you clean structured data ready to use. - **URL**: https://apify.com/kawsar/booking-scraper.md - **Developed by:** [Kawsar](https://apify.com/kawsar) (community) - **Categories:** Travel, Automation, Developer tools - **Stats:** 2 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $6.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ### Booking Scraper Booking Scraper pulls hotel and property data from Booking.com at scale. Paste in a list of hotel page URLs and get back clean, structured records covering names, star ratings, guest review scores, prices, amenities, images, addresses, and geo-coordinates. No account required, no manual browsing, no copy-pasting. --- ### What It Extracts For each hotel or property page you provide, the actor returns: | Field | Description | |---|---| | `name` | Hotel or property name | | `propertyType` | Type of accommodation (Hotel, Apartment, Hostel, etc.) | | `stars` | Official star rating (1-5) | | `reviewScore` | Aggregate guest score (e.g. 8.9) | | `reviewScoreWord` | Score label (e.g. "Excellent", "Superb") | | `reviewCount` | Total number of guest reviews | | `address` | Full street address | | `city` | City name | | `country` | Country name or code | | `latitude` | Latitude coordinate | | `longitude` | Longitude coordinate | | `propertyDescription` | Property description text | | `price` | Nightly rate (when shown on the page) | | `currency` | Currency code (USD, EUR, GBP, THB, etc.) | | `checkIn` | Check-in time | | `checkOut` | Check-out time | | `amenities` | List of facilities and amenities | | `images` | List of listing photo URLs (high-resolution) | | `website` | Hotel's official website | | `phone` | Contact phone number | --- ### How to Use #### 1. Open the Actor Go to the actor page on Apify and click **Try for free** or open it in Apify Console. #### 2. Provide Hotel URLs In the **Hotel URLs** field, add one or more Booking.com hotel page URLs. Copy them directly from your browser: ```` https://www.booking.com/hotel/th/veranda-chiangmai.en-gb.html https://www.booking.com/hotel/gb/the-ritz-london.en-gb.html https://www.booking.com/hotel/us/the-plaza-new-york.en-gb.html ```` #### 3. Configure Options (Optional) - **Max Items** — cap the number of hotels scraped per run (default: 100, max: 1000) - **Request Timeout** — seconds to wait for each page response (default: 30) #### 4. Run and Export Click **Start**. When the run finishes, download results as JSON, CSV, Excel, or JSONL from the **Dataset** tab. You can also connect results to Google Sheets, BigQuery, or any other integration via Apify integrations. --- ### Example Input ```json { "urls": [ "https://www.booking.com/hotel/th/veranda-chiangmai.en-gb.html", "https://www.booking.com/hotel/gb/the-ritz-london.en-gb.html" ], "maxItems": 50, "requestTimeoutSecs": 30 } ```` ### Example Output ```json [ { "url": "https://www.booking.com/hotel/th/veranda-chiangmai.en-gb.html", "name": "Veranda High Resort Chiang Mai", "propertyType": "Resort", "stars": 5, "reviewScore": 8.7, "reviewScoreWord": "Excellent", "reviewCount": 1842, "address": "100 Chuampit Road, Chiang Mai, 50300, Thailand", "city": "Chiang Mai", "country": "Thailand", "latitude": 18.7921, "longitude": 98.9674, "propertyDescription": "Set in the mountains above Chiang Mai, Veranda High Resort offers panoramic views...", "price": 4500.0, "currency": "THB", "checkIn": "14:00", "checkOut": "12:00", "amenities": ["Free WiFi", "Swimming pool", "Spa", "Restaurant", "Fitness center", "Airport shuttle"], "images": [ "https://cf.bstatic.com/xdata/images/hotel/max1280x900/123456.jpg", "https://cf.bstatic.com/xdata/images/hotel/max1280x900/123457.jpg" ], "website": "https://www.verandachiangmai.com", "phone": "+66 53 888 111" } ] ``` *** ### Use Cases **Travel data aggregation** — build a database of hotels across cities and countries for comparison sites or travel apps. **Competitive pricing research** — track nightly rates across competing properties in your target market. **Destination analysis** — gather review scores and amenities across a destination to identify gaps or opportunities. **Hotel database enrichment** — supplement existing hotel records with current ratings, images, and contact details. **Market intelligence** — monitor property types, star distributions, and review trends in specific regions. *** ### Property Types Supported The actor works across all Booking.com accommodation categories: - Hotels and boutique hotels - Apartments and serviced apartments - Resorts - Hostels - Bed and breakfasts - Guest houses - Villas and vacation rentals - Motels *** ### Performance and Limits - Processes one URL at a time with built-in bypass infrastructure - Each page typically completes in 5-15 seconds depending on server load - Configurable item limits let you control run duration and cost - Failed URLs are logged with error context; successful ones continue uninterrupted *** ### Frequently Asked Questions **Do I need a Booking.com account?** No. The actor scrapes publicly visible hotel pages without logging in. **What languages do the URLs need to be in?** Any language variant works. The actor reads the data regardless of locale. English URLs (`.en-gb.html` or `.en-us.html`) tend to return the most complete JSON-LD data. **Are prices always available?** Prices depend on whether Booking.com shows them on the static page. Availability and rate data can vary based on date parameters in the URL. **Can I scrape search results pages?** This actor is designed for individual hotel pages (URLs containing `/hotel/`). **How do I get the hotel URL?** Open any hotel page on Booking.com and copy the URL from your browser address bar. *** ### Legal and Terms of Use This actor is intended for personal research, academic use, and lawful business intelligence. Always review Booking.com's Terms of Service and robots.txt before large-scale data collection. The author assumes no responsibility for how extracted data is used. # Actor input Schema ## `urls` (type: `array`): One or more Booking.com hotel page URLs to scrape. Paste the full URL from your browser address bar. ## `maxItems` (type: `integer`): Maximum number of hotels to scrape in a single run. Increase for larger batches. ## `requestTimeoutSecs` (type: `integer`): How long to wait for a page response before marking it as failed. Raise this for slow connections. ## Actor input object example ```json { "urls": [ "https://www.booking.com/hotel/us/the-plaza-new-york.en-gb.html" ], "maxItems": 100, "requestTimeoutSecs": 30 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "urls": [ "https://www.booking.com/hotel/th/veranda-chiangmai.en-gb.html", "https://www.booking.com/hotel/gb/the-ritz-london.en-gb.html" ] }; // Run the Actor and wait for it to finish const run = await client.actor("kawsar/booking-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "urls": [ "https://www.booking.com/hotel/th/veranda-chiangmai.en-gb.html", "https://www.booking.com/hotel/gb/the-ritz-london.en-gb.html", ] } # Run the Actor and wait for it to finish run = client.actor("kawsar/booking-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ "https://www.booking.com/hotel/th/veranda-chiangmai.en-gb.html", "https://www.booking.com/hotel/gb/the-ritz-london.en-gb.html" ] }' | apify call kawsar/booking-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=kawsar/booking-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Booking Scraper", "description": "Booking Scraper pulls hotel details, prices, ratings, amenities, and images from Booking.com listings, giving you clean structured data ready to use.", "version": "0.0", "x-build-id": "VZSzkwwwg3gGd51ux" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/kawsar~booking-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-kawsar-booking-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/kawsar~booking-scraper/runs": { "post": { "operationId": "runs-sync-kawsar-booking-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/kawsar~booking-scraper/run-sync": { "post": { "operationId": "run-sync-kawsar-booking-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "urls" ], "properties": { "urls": { "title": "Hotel URLs", "type": "array", "description": "One or more Booking.com hotel page URLs to scrape. Paste the full URL from your browser address bar.", "items": { "type": "string" } }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of hotels to scrape in a single run. Increase for larger batches.", "default": 100 }, "requestTimeoutSecs": { "title": "Request Timeout (seconds)", "minimum": 5, "maximum": 300, "type": "integer", "description": "How long to wait for a page response before marking it as failed. Raise this for slow connections.", "default": 30 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```